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SUMMARY:Integrated Design Optimisation of Gas Turbine Compression Systems 
 - Tiziano Ghisu\, PhD student at Cambridge EDC
DTSTART:20080521T153000Z
DTEND:20080521T163000Z
UID:TALK11887@talks.cam.ac.uk
CONTACT:Thomas Jun
DESCRIPTION:Designing a new gas turbine is a challenging task: complex phy
 sical mechanisms and multiple disciplines are coupled with a large design 
 space and numerous often conflicting objectives. These attributes have led
  to the decomposition and fragmentation of the design process: starting fr
 om a preliminary engine design that sets the requirements and the limits f
 or each engine component\, each module is designed autonomously in several
  phases\, using an ever higher level of detail\, with the support of progr
 essively higher fidelity tools. While improving the tractability of the de
 sign process\, this approach has two important limitations: the decomposit
 ion can conceal important trade-offs between components\, leading to sub-o
 ptimal overall designs\, and the use of high fidelity tools is limited to 
 the very last phases of the process\, reducing the possibility of introduc
 ing decisive design changes. The structure of the design process often lea
 ds to conservative design decisions\, dictated by previous experience rath
 er than real physical constraints.\n\nThis study concentrates on reducing 
 the level of decomposition in the design of gas turbine compression system
 s\, seeking to perform the simultaneous preliminary design optimisation of
  an IP and an HP compressor and of the inter-connecting s-shaped duct. CFD
  has been used to evaluate the duct performance\, overcoming the lack of d
 esign and evaluation rules for annular curved ducts that has often led to 
 conservative designs. Response surfaces have been used extensively to limi
 t the increase in design time arising from the integration of codes with d
 ifferent levels of fidelity in a preliminary design environment. The resul
 ts demonstrate how integrated optimisation can improve compression system 
 design by reducing the development time and by improving overall performan
 ce when compared to that achieved through the isolated optimisation of ind
 ividual components.
LOCATION:Meeting Rooms 1A+1B\, (off the Oatly Lab)\, 2nd Floor\, Engineeri
 ng Department
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